---
title: internlm2_5-20b-chat-4bit-gptq
canonical_url: "https://www.modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b-chat-4bit-gptq"
md_url: "https://www.modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b-chat-4bit-gptq.md"
repository: Shanghai_AI_Laboratory/internlm2_5-20b-chat-4bit-gptq
last_updated: 2025-01-15
model_type:
  - internlm2
architectures:
  - InternLM2ForCausalLM
parameters: 3.6B
tensor_type:
  - I32
  - F16
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 1327
stars: 0
---

# internlm2_5-20b-chat-4bit-gptq

> internlm2_5-20b-chat-4bit-gptq - Shanghai_AI_Laboratory 在 ModelScope 开源的模型。

Shanghai_AI_Laboratory/internlm2_5-20b-chat-4bit-gptq 是 ModelScope 魔搭社区上的 3.6B 参数机器学习模型，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: Shanghai_AI_Laboratory/internlm2_5-20b-chat-4bit-gptq
- **Parameters**: 3.6B
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 1327
- **Stars**: 0
- **Last updated**: 2025-01-15

Source: https://www.modelscope.cn/models/Shanghai_AI_Laboratory/internlm2_5-20b-chat-4bit-gptq

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